Epitalk Advisor System in Smart Home Context

Author

Sun, Mei ; Giroux, Sylvain ; Pigot, Helene

Author_Institution

Fac. of Math. & Comput. Sci., Hebei Univ., Baoding

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2320

Lastpage

2323

Abstract

Our societies are currently facing the increase of aged in the population. More and more elderly people suffer from the Alzheimer´s disease. In order to reduce the cost for caring these elders, to let these elders foster automatically, smart home (intelligent health home) is proposed as a recency solution. This paper presents that EpiTalk advisor system assists the cognitive impaired elder to complete the ADLs by curing at home. The common temporal problems of ADLs are solved, which are the sequential problem, the random problem, and the synchronisation problem

Keywords

diseases; geriatrics; handicapped aids; health care; home automation; medical computing; Alzheimer disease; EpiTalk advisor system; cognitive assistance; cognitive impaired elderly people; intelligent health home; smart home; Aging; Alzheimer´s disease; Computer science; Costs; Curing; Machine learning; Mathematics; Senior citizens; Smart homes; State estimation; Sun; Activity recognition; Advisor system; Alzheimer´s disease; Assistive technology; Cognitive assistance; Smart home;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258718

Filename

4028452